A software development process can look remarkably healthy while producing very little. The planning happens. Tickets move. Documents are written and reviewed. Meetings fill the calendar. Each role completes its…
AI can produce more software, more documentation, more tests, more pull requests and more analysis than humans can reasonably consume. At first sight that looks like an obvious productivity breakthrough,…
“Business doesn’t know what it wants.” I have heard engineers say this in many companies, usually with plenty of examples to support the claim. Requirements change, important details surface late,…
There is one observation that has followed me throughout my career, regardless of the company, the industry or the technology involved. Whenever a software initiative began to struggle, the first…
Last Thursday and Friday I attended the #EventModeling and Event Sourcing conference in Munich, organised mainly by Martin Dilger . I had not planned to be there. Martin invited me…
I have been reading AWS Marketplace’s report on “The Role of AI in Software Development”. There are useful ideas in it. I am not against AI in the SDLC. Quite…
There is a strange paradox in modern software delivery. We have never had more visibility into the work. We have roadmaps, backlogs, Jira boards, Confluence pages, architecture diagrams, release plans,…
AI is changing software delivery, but maybe not in the way we first expected. The obvious story is that AI can generate code faster. It can write tests, summarize documentation,…
Many teams are now experimenting seriously with AI in the software delivery lifecycle. That is good. But I see a familiar pattern emerging. At first, people use AI for what…
Having worked in different sectors of the industry over more than 30 years, I have seen the same picture again and again. This is not about one company. It is…